具體描述
Thomas H. Cormen is Emeritus Professor of Computer Science at Dartmouth College.
Charles E. Leiserson is Edwin Sibley Webster Professor in Electrical Engineering and Computer Science at MIT.
Ronald L. Rivest is Institute Professor at MIT.
Clifford Stein is Wai T. Chang Professor of Industrial Engineering and Operations Research, and of Computer Science at Columbia University.
A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout.
New for the fourth edition
• New chapters on matchings in bipartite graphs, online algorithms, and machine learning
• New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays
• 140 new exercises and 22 new problems
• Reader feedback–informed improvements to old problems
• Clearer, more personal, and gender-neutral writing style
• Color added to improve visual presentation
• Notes, bibliography, and index updated to reflect developments in the field
• Website with new supplementary material
用戶評價
##感覺翻譯沒傳說中的爛，甚至可以說在我看過的翻譯書中算好瞭，不過還是英文對著看的，怕哪裏漏瞭。 其實本書在有瞭一定數學基礎來說(至少離散概率論微積分基礎掌握的較好，如果運籌學組閤學圖論也看過就更好瞭，我當時差不多是都看過一兩本入門書的水平)，看起來是很快的，我之...
評分##可以查看該地址來查看第三版習題答案，雖然全書和答案都是用僞代碼，但我感覺，僞代碼就已經很好的解決問題瞭。 [https://walkccc.github.io/CLRS/Chap02/2.2/] 該算法導論可能更多的偏嚮於思維，而不是實戰。工程上的應用還是要結閤其他方方麵麵來處理。。 如果覺得習題不夠，...
評分 評分##之前嘗試自學這本書，很失敗。。太難。。 後來到美國上學開始係統的跟著老師走這本書。基本看完瞭，也寫寫評論。 首先我肯定是力薦的，經典。 然後幾個問題： 1. 初學者，自學? 第一次看之前，我大概過瞭一遍MIT公開課，看瞭Data Structure and Algorithms in C++ (大概這個名...
評分 評分 評分##這本書一直是公認的算法學習的經典，但不知道是翻譯原因還是自己當時火候不夠，在大一初學算法的時候這本書我沒看得太懂。反而是一本用C++描述的數據結構的書讓我對數據結構和算法入瞭門。 不過後來看瞭MIT OpenCourse中這門課的錄像，纔認識到這本書的深度和精確性。結閤MIT...
評分##可以查看該地址來查看第三版習題答案，雖然全書和答案都是用僞代碼，但我感覺，僞代碼就已經很好的解決問題瞭。 [https://walkccc.github.io/CLRS/Chap02/2.2/] 該算法導論可能更多的偏嚮於思維，而不是實戰。工程上的應用還是要結閤其他方方麵麵來處理。。 如果覺得習題不夠，...
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